A novel matrix-vector-based framework for modeling and simulation of electric vehicle battery packs

Facing the growing electrification of the transport sector, there is an increasing need for models capturing the entire vehicle battery. The performance of the model is crucial for the development of energy storage systems but also for real-time applications. The challenge of these so-called control-oriented models is to precisely map the individual cell behavior and the interactions with the neighboring cells while keeping the computational effort low. In this work, a novel framework for the electro-thermal modeling of large-scale battery packs is presented. Both the individual cell behavior and the interactions between neighboring cells as well as cyclic aging are taken into account. For the parameterization, two cell types are characterized over a temperature range from 15 degrees C to 45 degrees C and over the entire state of charge range. The model is validated based on three fault cases in the battery system, which are mapped correctly with the model framework. From the results, fault-specific findings are derived for model-based and date-driven fault diagnosis. A battery system consisting of 500 cells is simulated to evaluate the model performance. The simulation of this battery pack is real-time capable up to a frequency of 100Hz.